Summary

As a Data Engineer at Avanade, you’ll design and build scalable data pipelines and ETL/ELT solutions. You’ll work closely with architects and analysts to deliver secure, high‑quality data across batch and near‑real‑time use cases, while continuously improving performance and reliability.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and data integration solutions

• Develop and optimise ETL/ELT processes to ingest, transform, and store data from multiple sources

• Work closely with data architects, analysts, and downstream consumers to deliver reliable data solutions

• Implement data processing solutions across batch and near-real-time use cases

• Ensure data quality, reliability, and performance across data platforms

• Support cloud-based data platforms, data lakes, and data warehouses

• Apply data security, privacy, and access control requirements across data solutions

• Troubleshoot and resolve data pipeline failures and performance issues

• Contribute to automation, monitoring, and continuous improvement of data engineering practices

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Skills and Experience

• Strong experience in Data Engineering or data-focused engineering roles

• Strong experience with ETL/ELT development and data pipeline orchestration

• Solid proficiency in SQL and experience with relational and NoSQL data stores

• Experience with cloud data platforms (e.g. Azure Data Factory, Databricks, Synapse or equivalent)

• Experience working with structured and semi-structured data

• Familiarity with data modelling concepts and performance optimisation techniques

• Experience with CI/CD pipelines and DevOps practices for data solutions

• Strong analytical, problem-solving, and troubleshooting skills

* Australian citizenship is required, and candidates must be eligible to obtain security clearance. (Existing security clearance is preferred but not mandatory)

* This position is based onsite in Parramatta on a full-time basis.

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